636-0119-00L  Introduction to Statistics and R

SemesterAutumn Semester 2022
LecturersJ. Kuipers
Periodicityyearly recurring course
Language of instructionEnglish



Courses

NumberTitleHoursLecturers
636-0119-00 GIntroduction to Statistics and R
Attention: Lecture starts on Thursday, September 29
This lecture will take place in classroom in Basel.
3 hrs
Thu16:15-19:00BSA E 46 »
J. Kuipers
636-0119-00 AIntroduction to Statistics and R
Project Work (Compulsory continuous performance assessments), no fixed presence required
2 hrsJ. Kuipers

Catalogue data

AbstractThis course offers a practical introduction to the fundamentals of data analysis and R
ObjectiveTo acquire the statistical understanding to design an appropriate analysis and the practical skills to implement the analysis in R and present the results.
ContentData analysis is fundamental for arriving at scientific conclusions and testing different hypotheses. This course offers a hands-on introduction to statistical analyses including: exploratory data analysis, testing differences in populations, p-values, power calculations, multiple testing, confounding, linear regression, maximum likelihood, model selection, and logistic regression; along with the fundamentals of R programming including markdown and data handling with the tidyverse.
Lecture notesLecture slides will be available
Prerequisites / NoticeAccess to Rstudio with some markdown and tidyverse packages installed.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits6 credits
ExaminersJ. Kuipers
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is only offered in the session after the course unit. Repetition only possible after re-enrolling.
Mode of examinationoral 20 minutes
Additional information on mode of examinationFinal grade: 62.5% oral examination, 37.5% project work.
Project work has to be re-done in case of repetition.
The course includes compulsory continuous performance assessments in the form of project work/assignments, which constitute 37.5% of the final grade.
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

There are no additional restrictions for the registration.

Offered in

ProgrammeSectionType
Biotechnology MasterElectivesWInformation
Doctorate Biosystems Science and EngineeringSubject SpecialisationWInformation